The study looked at using a method called Lyapunov exponent to detect early faults in rolling bearings. This method measures how quickly nearby points in a system move apart or come together. If the Lyapunov exponent is greater than zero, it suggests chaos in the system. By calculating Lyapunov exponents for different parts of the bearing under different conditions, the researchers found that this method is effective in predicting early bearing failures.